Heterogeneous Dynamic Graph Convolutional Networks for Enhanced Spatiotemporal Flood Forecasting by Remote Sensing

Accurate and timely flood forecasting, facilitated by remote sensing technology, is crucial to mitigate the damage and loss of life caused by floods. However, despite years of research, accurate flood prediction still faces numerous challenges, including complex spatiotemporal features and varied fl...

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書誌詳細

主要な著者:	Jiange Jiang, Chen Chen, Yang Zhou, Stefano Berretti, Lei Liu, Qingqi Pei, Jianming Zhou, Shaohua Wan
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2024-01-01
シリーズ:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
主題:	Deep learning dynamic graph convolution flood forecasting multivariable prediction spatiotemporal graph data
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10380452/
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